Bioinformatics-Based Identification of Potential Hypoxia-Related Genes Associated With Peyronie's Disease

Area of Science:

• Urology
• Genetics
• Bioinformatics

Background:

• Hypoxia is a key factor in Peyronie's disease (PD) pathogenesis, but underlying mechanisms remain unclear.
• Understanding gene expression in PD is crucial for developing effective treatments.

Purpose of the Study:

• To identify hypoxia-related genes contributing to PD pathogenesis using bioinformatic analysis.
• To explore the functional roles and interactions of these candidate genes in PD.

Main Methods:

• Utilized Gene Expression Omnibus (GEO) dataset GSE146500 for transcriptional profiling.
• Applied R software for differential gene expression analysis of hypoxia-related genes.
• Conducted protein-protein interaction (PPI), gene correlation, Gene Ontology (GO), and KEGG pathway analyses.

Main Results:

• Identified 66 candidate hypoxia-related genes: 24 overexpressed and 42 underexpressed in PD fibroblast cells.
• PPI analysis revealed interactions among these candidate genes.
• Functional enrichment analysis highlighted roles in glycolysis/gluconeogenesis and carbon metabolism.

Conclusions:

• The identified hypoxia-related genes provide insights into PD pathogenesis.
• These findings may lead to improved clinical strategies for managing Peyronie's disease.